Vortex Core Line Extraction and Tracking from Unsteady Computational Fluid Dynamics Simulations using Subjective Logic
Presented here is a novel tool to extract and track believable vortex core lines from unsteady Computational Fluid Dynamics data sets using multiple feature extraction algorithms. Existing work explored the possibility of extracting features concurrent with a running simulation using intelligent software agents, combining multiple algorithms' capabilities using subjective logic. This work modifies the steady-state approach to work with unsteady fluid dynamics and is applied to the analysis of flow in a lid-driven cavity and flow around a cylinder. These data sets highlight strengths and weaknesses of the chosen algorithms and the potential for subjective logic to aid in understanding the resulting features. In addition, feature tracking is successfully applied and is observed to have a significant impact on the opinion of the vortex core lines. In the lid-driven cavity data set, time derivatives were shown to impact feature extraction results with moving vortex core lines. Due to vortex stretching in the cylinder data set, Roth-Peikert more reliably detected vortex core lines which existed for a significant amount of time. The use of multiple extraction algorithms with subjective logic and feature tracking helps determine the probability that an extracted core was believable. This approach may be applied to massive data sets which will greatly reduce analysis time and data size and will aid in a greater understanding of complex fluid flows.
R. P. Shaw et al., "Vortex Core Line Extraction and Tracking from Unsteady Computational Fluid Dynamics Simulations using Subjective Logic," Proceedings of the 50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition (2012, Nashville, TN), American Institute of Aeronautics and Astronautics (AIAA), Jan 2012.
50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition (2012: Jan. 9-12, Nashville, TN)
Electrical and Computer Engineering
Keywords and Phrases
Analysis Time; Complex Fluid Flow; Computational Fluid Dynamics Simulations; Data Sets; Data Size; Extracting Features; Extraction Algorithms; Feature-Tracking; Flow Around a Cylinder; Intelligent Software Agent; Lid-Driven Cavities; Massive Data Sets; Multiple Algorithms; Multiple Features; Running Simulations; Significant Impacts; Subjective Logic; Time Derivative; Vortex Cores; Vortex Stretching, Aerospace Engineering; Algorithms; Computational Fluid Dynamics; Cylinders (Shapes); Exhibitions; Feature Extraction, Vortex Flow
Article - Conference proceedings
© 2012 American Institute of Aeronautics and Astronautics (AIAA), All rights reserved.
01 Jan 2012